# 2️⃣ Batch through 2‑D CNN frame_feats = [] with torch.no_grad(): for i in range(0, len(preproc_frames), batch_size): batch = torch.stack(preproc_frames[i:i+batch_size]).to(DEVICE) # (B,3,H,W) feats = frame_cnn(batch) # (B, 1792) frame_feats.append(feats.cpu()) frame_feats = torch.cat(frame_feats, dim=0) # (T, 1792)
| Parameter | Standard Quality | Extra Quality | | :--- | :--- | :--- | | | H.264 (Main Profile) | H.264 (High Profile) or H.265 (Main 10) | | Bitrate Mode | Constant (CBR) | Variable (VBR) | | Reference Frames | 3-4 frames | 8-16 frames | | Audio Channels | Stereo (2.0) @ 96kbps | 5.1 or Stereo @ 320kbps+ | | Color Depth | 8-bit | 8-bit (or 10-bit for HDR variants) | pppd515mp4 extra quality
From an engineering perspective,